Publication | Closed Access
Quantum-Dot Cellular Automata (QCA) circuit partitioning
60
Citations
20
References
2004
Year
Unknown Venue
EngineeringElectronic Design AutomationEvolvable HardwareElectronic DesignComputer ArchitecturePhysical Design ProblemPhysical Design (Electronics)Quantum ComputingSystems EngineeringQuantum EntanglementCombinatorial OptimizationParallel ComputingQuantum ScienceQuantum AlgorithmComputer EngineeringComputer ScienceQuantum-dot Cellular AutomataIlp FormulationCircuit Design
This paper presents the Quantum-Dot Cellular Automata (QCA) physical design problem, in the context of the VLSI physical design problem. The problem is divided into three subproblems: partitioning, placement, and routing of QCA circuits. This paper presents an ILP formulation and heuristic solution to the partitioning problem, and compares the two sets of results. Additionally, we compare a human-generated circuit to the ILP and Heuristic solutions. The results demonstrate that the heuristic is a practical method of reducing partitioning run time while providing a result that is close to the optimal for a given circuit.
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